Electroencephalographic connectivity measures predict learning of a motor sequencing task

Individuals vary significantly with respect to rate and degree of improvement with motor practice. While the regions that underlie motor learning have been well described, neurophysiological factors underlying differences in response to motor practice are less well understood. The present study examined both resting state and event-related EEG coherence measures of connectivity as predictors of response to motor practice on a motor sequencing task using the dominant hand. Thirty-two healthy, young, right-handed participants underwent resting EEG prior to motor practice. Response to practice was evaluated both across the single session of motor practice, and 24-hours later at a retention test of short-term motor learning. Behaviorally, the group demonstrated statistically significant gains both in single-session motor improvement and across-session motor learning. A resting-state measure of whole brain coherence with primary motor cortex (M1) at baseline robustly predicted subsequent motor improvement (validated R²=0.55) and motor learning (validated R²=0.68) in separate partial least squares regression models. Specifically, greater M1 coherence with left frontal-premotor cortex (PMC) at baseline was characteristic of individuals likely to demonstrate greater gains in both motor improvement and motor learning. Analysis of event-related coherence with respect to movement found the largest changes occurring in areas implicated in planning and preparation of movement, including PMC and frontal cortices. While event-related coherence provided a stronger prediction of practice-induced motor improvement (validated R²=0.73) it did not predict the degree of motor learning (validated R²=0.16). These results indicate that connectivity in the resting-state is a better predictor of consolidated learning of motor skills.

from #ORL-AlexandrosSfakianakis via ola Kala on Inoreader http://ift.tt/2xLjrCn